An innovative method of interosseous lumbar spine stabilization surgery using the dynamic implant in a professional athlete as a way to return to competitive activity as quickly as possible

Objective: surgical intervention for spinal pathologies in professional athletes represents a pertinent topic in contemporary sports medicine and neurosurgery, given the extended rehabilitation period and potential decline in competitive activity following spinal surgeries. In this clinical case we describe an innovative technique for stabilizing the lumbar spine in an elite adult professional athlete which enables rapid return to regular competitive activities without restrictions.Materials and methods: a clinical case involving the surgical treatment of lumbar spine instability with compression of neural structures caused by an intervertebral disc herniation is presented. An innovative method for spinal stabilization employing an interbody dynamic implant is outlined.Results: the implementation of this spinal stabilization method allowed an adult professional elite futsal player to resume active physical sport-specific activities without any limitations just three weeks post-surgery.Conclusion: this clinical observation illustrates that spinal fixation using this novel and original method ensures the stability of the operated segment during physical exertion of any intensity

Real Times Numerical Feedback Optimal Controls To Parabolic Boundary Problem

In our paper we consider model that has been formulated in the form of feedback control problem and simulates many processes in environmental branches. Now we present a results of numerical experience in MatLab VI to our algorithms. Algorithms construct numerical feedback controls in real time. Effect of real time has been received by means of method Monte-Carlo to integrate partial differential equations. We make some remarks about using that method

To use of stochastic approach for parabolic differential systems synthesis in real times mode

Исследована применимость стохастического метода Монте-Карло для численного интегри- рования в задаче оптимального управления типа обратной связи параболической системой. Проведен численный эксперимент. Исследованный подход обеспечивает синтез оптималь- ного управления для задач средней размерности в режиме реального времени